[
Abbott, B., & Gallipoli, G. (2017). Human capital spillovers and the geography of intergenerational mobility. Review of Economic Dynamics, 25: 208-233.
]Search in Google Scholar
[
Acemoglu, D. A. (1996). A microfoundation for social increasing returns in human capital accumulation. The Quarterly Journal of Economics, 111(3): 779-804.
]Search in Google Scholar
[
Aghion, P., & Jaravel, X. (2015). Knowledge spillovers, innovation and growth. The Economic Journal, 125(583): 533-573.
]Search in Google Scholar
[
Aldieri, L., & Vinci, C. P. (2017). Quantile regression for panel data: An empirical approach for knowledge spillovers endogeneity. International Journal of Economics and Finance, 9(7): 106-113.
]Search in Google Scholar
[
Apergis, N., Economidou, C., & Filippidis, I. (2009). International technology spillovers, human capital and productivity linkages: Evidence from the industrial sector. Empirica, 36: 365-387.
]Search in Google Scholar
[
Audretsch, D. B., & Belitski, M. (2020). The role of R&D and knowledge spillovers in innovation and productivity. European Economic Review, 123: 103391.
]Search in Google Scholar
[
Badinger, H., Egger, P. H., & von Ehrlich, M. (2015). Productivity growth, human capital and technology spillovers: Nonparametric evidence for EU regions. Oxford Bulletin of Economics and Statistics, 81(4): 768-779.
]Search in Google Scholar
[
Baker, M., Powell, D., & Smith, T. A. (2016). QREGPD: Stata module to perform Quantile Regression for Panel Data. Statistical Software Components S458157. Boston College Department of Economics.
]Search in Google Scholar
[
Bar, T., & Leiponen, A. (2012). A measure of technological distance. Economics Letters, 116: 457-459.
]Search in Google Scholar
[
Belfield, C. R., Battu, H., & Sloane, P. J. (2004). Human capital spillovers in the workplace: Evidence for the service sector in Britain. International Journal of Manpower, 25(1): 123-138.
]Search in Google Scholar
[
Benos, N., & Karagiannis, S. (2016). Do education quality and spillovers matter? Evidence on human capital and productivity in Greece. Economic Modelling, 54: 563-573.
]Search in Google Scholar
[
Breckling, J., & Chambers, R. (1988). M-quantiles. Biometrika, 74(4): 761-772.
]Search in Google Scholar
[
Buchinsky, M. (1994). Changes in the U.S. wage structure 1963-1987: Application of quantile regression. Econometrica, 62(2): 405-458.
]Search in Google Scholar
[
Cabrales, C. A. (2011). Human capital externalities and growth. Ensayos sobre Politica Economica, 29(66): 15-47.
]Search in Google Scholar
[
Canay, I. A. (2011). A simple approach to quantile regression for panel data. The Econometrics Journal, 14(3): 368-386.
]Search in Google Scholar
[
Ciccone, A., & Peri, G. (2006). Identifying human-capital externalities: Theory with applications. Review of Economic Studies, 73: 381-412.
]Search in Google Scholar
[
Coad, A., & Rao, R. (2011). The firm-level employment effects of innovations in high-tech US manufacturing industries. Journal of Evolutionary Economics, 21: 255-283.
]Search in Google Scholar
[
Damijan, J. P., Jaclič, A., & Rojec, M. (2006). Do external knowledge spillovers induce firms’ innovations? Evidence from Slovenia. In: Tavares, A. T., Teixeira, A. (eds.), Multinationals, Clusters and Innovation, London: Palgrave Macmillan.
]Search in Google Scholar
[
Diwakar, B., & Sorek, G. (2017). Human-capital spillover, population and R&D-based growth. The B.E. Journal of Macroeconomics, 17(1): 1-17.
]Search in Google Scholar
[
Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015). The next generation of the Penn World Table. American Economic Review, 105(10): 3150-3182.
]Search in Google Scholar
[
Friendly, M. (2000). Visualizing categorical data. Cary: SAS Institute.
]Search in Google Scholar
[
Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. Cambridge, New York: Cambridge University Press.
]Search in Google Scholar
[
Griliches, Z. (1992). The search for R&D spillovers. The Scandinavian Journal of Economics, 94: S29-S47.
]Search in Google Scholar
[
Hahn, J. (1995). Bootstrapping quantile regression estimators. Econometric Theory, 11(1): 105-121.
]Search in Google Scholar
[
Hamid, A., & Pichler, J. H. (2009). Human capital spillovers, productivity and growth in the manufacturing sector of Pakistan. The Pakistan Development Review, 48(2): 125-140.
]Search in Google Scholar
[
Jaffe, A. B. (1986). Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits and market value. American Economic Review, 76: 984-1001.
]Search in Google Scholar
[
Jones, C. I., & Vollrath, D. (2013). Introduction to economic growth. 3rd edition, New York and London: W. W. Norton & Company.
]Search in Google Scholar
[
Jovanovic, B., & Rob, R. (1989). The growth and diffusion of knowledge. Review of Economic Studies, 56(4): 569-582.
]Search in Google Scholar
[
Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1): 74-89.
]Search in Google Scholar
[
Koenker, R. (2005). Quantile regression. New York: Cambridge University Press.
]Search in Google Scholar
[
Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46: 33-50.
]Search in Google Scholar
[
Lucas, R. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1): 3-42.
]Search in Google Scholar
[
Machado, J., Parente, P., & Silva, J. S. (2011). Qreg2: Stata module to perform quantile regression with robust and clustered standard errors. Statistical Software Components, Boston College Department of Economics.
]Search in Google Scholar
[
Malley, J., & Woitek, U. (2019). Estimated human capital externalities in an endogenous growth framework. Working Papers 2019_04, Business School-Economics, University of Glasgow.
]Search in Google Scholar
[
Metcalfe, R., & Sloane, P. J. (2007). Human capital spillovers and economic performance in the work-place in 2004: Some British evidence. IZA Discussion Paper Series, IZA DP No. 2774.
]Search in Google Scholar
[
Moretti, E. (2002). Human capital spillovers in manufacturing: Evidence from plant-level production functions. Working Papers 02-27, Center for Economic Studies, U.S. Census Bureau.
]Search in Google Scholar
[
Moretti, E. (2004). Estimating the social return to higher education: Evidence from longitudinal and repeated cross-section data. Journal of Econometrics, 121: 175-212.
]Search in Google Scholar
[
Newey, W. K., & Powell, J. L. (1987). Asymmetric least squares estimation and testing. Econometrica, 55: 819-847.
]Search in Google Scholar
[
O’Mahony, M. (2012). Human capital formation and continuous training: Evidence for EU countries. Review of Income and Wealth, 58(3): 531-549.
]Search in Google Scholar
[
Parente, P. M. D. C., & Silva, J. M. C. S. (2016). Quantile regression with clustered data. Journal of Econometric Methods, 5: 1-15.
]Search in Google Scholar
[
Park, W. (2012). Does human capital spillover beyond plant boundaries? Evidence from Korea. (Unpublished paper), Columbia University.
]Search in Google Scholar
[
Powell, D. (2014). Did the economic stimulus payments of 2008 reduce labor supply? Evidence from quantile panel data estimation. RAND Labor and Population Working Paper 710-3.
]Search in Google Scholar
[
Powell, D. (2016). Quantile regression with nonadditive fixed effects. RAND Labor and Population Working Paper Available online: https://pdfs.semanticscholar.org/b2be/fdf37fa0d-1faa88675e085e54584c4072e4a.pdf.
]Search in Google Scholar
[
Powell, D. (2017). Quantile treatment effects in the presence of covariates. RAND Labor and Population Working Paper. Available online: https://works.bepress.com/david_powell/4/download/.
]Search in Google Scholar
[
Ramos, P., Suriñach, J., & Artís, M. (2010). Human capital spillovers, productivity and regional convergence in Spain. Papers in Regional Science, 89(2): 435-447.
]Search in Google Scholar
[
Rauch, J. E. (1993). Productivity gains from geographic concentration of human capital: Evidence from the cities. Journal of Urban Economics, 34(3): 380-400.
]Search in Google Scholar
[
Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5): 1002-1037.
]Search in Google Scholar
[
Romer, P. (1994). The origins of endogenous growth. Journal of Economic Perspectives, 8: 3-22.
]Search in Google Scholar
[
Rosenthal, S., & Strange, W. (2008). The attenuation of human capital spillovers. Journal of Urban Economics, 64(2): 373-389.
]Search in Google Scholar
[
Serrano, G., & Cabrer, B. (2004). The effect of knowledge spillovers on productivity growth inequalities in Spanish regions. Environment and Planning A: Economy and Space, 36(4): 731-753.
]Search in Google Scholar
[
Sloane, P. J., Battu, H., & Belfield, C. (2003). Human capital spillovers within the workplace: Evidence for Great Britain. Oxford Bulletin of Economics and Statistics, 65(5): 575-594.
]Search in Google Scholar
[
Thönnessen, R., & Gundlach, E. (2013). The size of human capital externalities: Cross-country evidence. Public Choice, 157(3/4): 671-689.
]Search in Google Scholar
[
Tukey, J. W. (1965). The future of processes of data analysis. Reprinted in: Jones, L.V. (ed.) 1986. The collected works of John W. Tukey. Volume IV: Philosophy and principles of data analysis: 1965-1986. Monterey, CA: Wadsworth and Brooks/Cole, 517-547.
]Search in Google Scholar
[
Tukey, J. W. (1972). Some graphic and semigraphic displays. In: Bancroft, T. A. and Brown, S. A. (eds.), Statistical papers in honor of George W. Snedecor, Ames: Iowa State University Press.
]Search in Google Scholar
[
Verspagen, B. (1997). Measuring intersectoral technology spillovers: Estimates from the European and US patent office databases. Economic Systems Research, 9: 47-65.
]Search in Google Scholar
[
Wainer, H. (1974). The suspended rootogram and other visual displays: An empirical validation. The American Statistician, 28(4): 143-145.
]Search in Google Scholar
